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MMars/whisper-small-ar
whisper-small-ar is a automatic speech recognition model from MMars. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
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From the Hugging Face model README
This model is a fine-tuned version of openai/whisper-small on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
train_batch_size=16
eval_batch_size=8
optimizer: Adam
learning_rate=1e-5
warmup_steps=500
max_steps=4000
eval_steps=1000
metric_for_best_model="wer"
| Training Loss | Step | Validation Loss | Wer |
|---|---|---|---|
| 0.2811 | 1000 | 0.393018 | 53.778349 |
| 0.2356 | 2000 | 0.348794 | 47.793591 |
| 0.1705 | 3000 | 0.332207 | 45.758883 |
| 0.1476 | 4000 | 0.322550 | 44.976586 |